Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Reza Pourabolghasem"'
Autor:
Yashar Kiarashinejad, Mohammadreza Zandehshahvar, Sajjad Abdollahramezani, Omid Hemmatyar, Reza Pourabolghasem, Ali Adibi
Publikováno v:
Advanced Intelligent Systems, Vol 2, Iss 2, Pp n/a-n/a (2020)
Herein, a new approach for using the intelligence aspects of artificial intelligence for knowledge discovery rather than device optimization in electromagnetic (EM) nanostructures is presented. This approach uses training data obtained through full
Externí odkaz:
https://doaj.org/article/5df577fa933e4462a307ffb2f91d0eb1
Integrated phononic crystal resonators based on adiabatically-terminated phononic crystal waveguides
Publikováno v:
AIP Advances, Vol 6, Iss 12, Pp 121603-121603-6 (2016)
In this letter, we demonstrate a new design for integrated phononic crystal (PnC) resonators based on confining acoustic waves in a heterogeneous waveguide-based PnC structure. In this architecture, a PnC waveguide that supports a single mode at the
Externí odkaz:
https://doaj.org/article/5305fca15887401f948dfa66c2e834d8
Autor:
Mohammadreza Zandehshahvar, Yashar Kiarashi, Muliang Zhu, Daqian Bao, Mohammad Hadigheh Javani, Reza Pourabolghasem, Ali Adibi
Publikováno v:
Photonic and Phononic Properties of Engineered Nanostructures XIII.
Autor:
Mohammadreza Zandehshahvar, Yashar Kiarashi, Muliang Zhu, Daqian Bao, Mohammad H Javani, Reza Pourabolghasem, Ali Adibi
Publikováno v:
ACS Photonics.
Autor:
John F. Kolen, Reza Pourabolghasem, Mohsen Sardari, Navid Aghdaie, Ahmad Beirami, Jesse Harder, James Pestrak, Yunqi Zhao, Jervis Pinto, Kazi Atif-Uz Zaman, S. Narravula, Caedmon Somers, Fernando de Mesentier Silva, Igor Borovikov, Long Lin, Harold Henry Chaput, Jason Rupert
Publikováno v:
IEEE Transactions on Games. 12:199-212
Recently, there have been several high-profile achievements of agents learning to play games against humans and beat them. In this article, we study the problem of training intelligent agents in service of game development. Unlike the agents built to
Autor:
Yashar Kiarashinejad, Reza Pourabolghasem, Omid Hemmatyar, Mohammadreza Zandehshahvar, Sajjad Abdollahramezani, Ali Adibi
Publikováno v:
Conference on Lasers and Electro-Optics.
We present a learning-based technique to develop a reliable tool for discovering the underlying physics and feasibility of achieving different type of responses in electromagnetic nanostructures.
Autor:
Omid Hemmatyar, Sajjad Abdollahramezani, Reza Pourabolghasem, Ali Adibi, Yashar Kiarashinejad, Mohammadreza Zandehshahvar
Publikováno v:
Conference on Lasers and Electro-Optics.
We present a new approach based on machine learning algorithms for inverse design of photonic nanostructure to provide the desired response while iteratively reducing the complexity of the structure to minimize the design complexity.
Publikováno v:
Automation in Construction. 81:17-24
Building information modeling is instrumental in documenting design, enhancing customer experience, and improving product functionality in capital projects. However, good building models do not happen by accident, but rather as a result of a managed
Autor:
Reza Pourabolghasem, Omid Hemmatyar, Yashar Kiarashinejad, Sajjad Abdollahramezani, Ali Adibi, Mohammadreza Zandehshahvar
Publikováno v:
Advanced Intelligent Systems, Vol 2, Iss 2, Pp n/a-n/a (2020)
We present here a new approach for using the intelligence aspects of artificial intelligence for knowledge discovery rather than device optimization in electromagnetic (EM) nanostructures. This approach uses training data obtained through full-wave E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f463744810cb5008c5cf38c722458bad
Publikováno v:
Physical Review Applied. 9
Phononic crystals (PnCs) have been studied extensively for two decades, as an enticing platform for ultrahigh-frequency signal processing. However, struggles with geometric scaling and efficient coupling of acoustic energy at the microscale have hind